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Author

Hao-Han Geng

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Preprint Oct 2026

TrajWAM: An Efficient Trajectory-Guided World Action Model for Dynamic Robotic Manipulation

Dynamic object manipulation requires robots to anticipate target motion while replanning fast enough to avoid executing outdated actions. Existing approaches either rely on fast reactive control without an explicit future target state or encode anticipated motion only implicitly. World Action Models (WAMs) offer a prom...

Hao-Han Geng, Sha Zhang, Wei Sun et al. · 1 citation
Preprint Oct 2026

1Step-WAM: Your World Action Model but Faster using 1-Step Action Generation

World Action Models (WAMs) unify visual world modeling and action generation, yet their real-world deployment is heavily bottlenecked by iterative action denoising and the sequential execution of visual prefilling and action prediction. We demonstrate that the action-denoising trajectories in WAMs are approximately str...

Run-Dong Su, Pengtao Chen, Hao-Han Geng et al. · 0 citations

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